Value Added (Manufacture of food, beverages and tobacco products) — Value Standard Local Currency by country
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages...
What the numbers show
Value Added (Manufacture of food, beverages and tobacco products) — Value Standard Local Currency is currently reported for 44 countries. The highest value is 57.84 million million SLC in Colombia; the lowest is 3.91 million SLC in Bermuda.
The median across all reporting countries is 46,096 million SLC, and the mean is 3.14 million million SLC.
Over the past decade 37 countries rose and 6 fell. The largest increase was in Romania (up 25,496.1%), and the largest decrease in North Macedonia (down 72.4%).
Value Added (Manufacture of food, beverages and tobacco products): full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Colombia | 57.84 million million SLC | 2022 | up 108.0% | rising |
| 2 | Uzbekistan | 22.36 million million SLC | 2022 | up 397.8% | rising |
| 3 | Republic of Korea | 19.42 million million SLC | 2007 | up 60.0% | rising |
| 4 | Japan | 12.77 million million SLC | 2007 | down 2.1% | flat |
| 5 | Lebanon | 4.99 million million SLC | 2020 | up 328.1% | rising |
| 6 | Argentina | 3.99 million million SLC | 2022 | up 3,362.0% | volatile |
| 7 | India | 3.29 million million SLC | 2022 | up 111.1% | rising |
| 8 | Kazakhstan | 2.85 million million SLC | 2022 | up 312.7% | volatile |
| 9 | Mongolia | 2.46 million million SLC | 2022 | up 703.4% | volatile |
| 10 | Costa Rica | 2.38 million million SLC | 2022 | up 82.0% | rising |
| 11 | Russian Federation | 1.54 million million SLC | 2016 | up 138.6% | volatile |
| 12 | Sri Lanka | 1.03 million million SLC | 2021 | up 81.6% | rising |
| 13 | Rwanda | 782,576 million SLC | 2022 | up 235.7% | rising |
| 14 | Kenya | 566,134 million SLC | 2022 | up 175.3% | volatile |
| 15 | Armenia | 520,847 million SLC | 2022 | up 65.9% | rising |
| 16 | Burundi | 423,008 million SLC | 2015 | up 206.4% | rising |
| 17 | Brazil | 226,732 million SLC | 2022 | up 112.0% | rising |
| 18 | Serbia | 218,176 million SLC | 2022 | up 29.6% | rising |
| 19 | Uruguay | 118,399 million SLC | 2021 | up 119.3% | rising |
| 20 | Iceland | 111,737 million SLC | 2014 | up 228.1% | volatile |
| 21 | South Africa | 92,607 million SLC | 2010 | up 199.7% | volatile |
| 22 | Malaysia | 53,103 million SLC | 2022 | up 85.7% | rising |
| 23 | Nicaragua | 39,090 million SLC | 2022 | up 119.0% | volatile |
| 24 | United Kingdom of Great Britain and Northern Ireland | 36,293 million SLC | 2022 | up 81.5% | rising |
| 25 | Mauritius | 30,073 million SLC | 2022 | up 50.1% | rising |
| 26 | Peru | 29,501 million SLC | 2022 | up 20.0% | rising |
| 27 | Albania | 26,242 million SLC | 2022 | up 201.2% | volatile |
| 28 | Israel | 25,513 million SLC | 2022 | up 62.9% | rising |
| 29 | Namibia | 13,872 million SLC | 2022 | up 26.9% | rising |
| 30 | Belarus | 10,774 million SLC | 2022 | up 398.9% | volatile |
| 31 | Romania | 9,748 million SLC | 2002 | up 25,496.1% | volatile |
| 32 | Ecuador | 7,357 million SLC | 2022 | up 143.2% | rising |
| 33 | Singapore | 4,915 million SLC | 2022 | up 47.2% | volatile |
| 34 | Botswana | 3,798 million SLC | 2022 | up 173.7% | volatile |
| 35 | Georgia | 2,664 million SLC | 2022 | up 183.9% | volatile |
| 36 | North Macedonia | 2,623 million SLC | 2022 | down 72.4% | rising |
| 37 | Trinidad and Tobago | 2,614 million SLC | 2006 | up 31.7% | rising |
| 38 | Bulgaria | 1,469 million SLC | 2007 | up 207.1% | rising |
| 39 | Puerto Rico | 1,298 million SLC | 2021 | down 48.6% | falling |
| 40 | Zimbabwe | 733.66 million SLC | 2013 | — | rising |
| 41 | Oman | 173.49 million SLC | 2020 | down 21.6% | flat |
| 42 | Montenegro | 70.76 million SLC | 2021 | up 39.7% | rising |
| 43 | Marshall Islands | 5.35 million SLC | 2021 | down 4.5% | flat |
| 44 | Bermuda | 3.91 million SLC | 2020 | down 30.0% | falling |
About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).